class_docstr: Inherits time series methods from TSM class.
  
  **** DYNAMIC REGRESSION MODEL ****
  
  Parameters
  ----------
  
  formula : string
      patsy string describing the regression
  
  data : pd.DataFrame
      Field to specify the data that will be used
docstr: Plots draws from the posterior predictive density against the data
  
  Parameters
  ----------
  nsims : int (default : 1000)
      How many draws from the posterior predictive distribution
  
  plot_data boolean
      Whether to plot the data or not
docstr_tok: ["Plots","draws","from","the","posterior","predictive","density","against","the","data","Parameters","--","--","--","--","--","nsims",":","int","(","default",":","1000",")","How","many","draws","from","the","posterior","predictive","distribution","plot_data","boolean","Whether","to","plot","the","data","or","not"]
code: def plot_sample(self, nsims=10, plot_data=True, **kwargs):
      """
      Plots draws from the posterior predictive density against the data
  
      Parameters
      ----------
      nsims : int (default : 1000)
          How many draws from the posterior predictive distribution
  
      plot_data boolean
          Whether to plot the data or not
      """
  
      if self.latent_variables.estimation_method not in ["BBVI", "M-H"]:
          raise Exception("No latent variables estimated!")
      else:
          import matplotlib.pyplot as plt
          import seaborn as sns
  
          figsize = kwargs.get("figsize", (10, 7))
          plt.figure(figsize=figsize)
          date_index = self.index
          draws = self.sample(nsims).T
          plt.plot(
              date_index, draws, label="Posterior Draws", alpha=1.0
          )
          if plot_data is True:
              plt.plot(
                  date_index,
                  self.data,
                  label="Data",
                  c="black",
                  alpha=0.5,
                  linestyle="",
                  marker="s",
              )
          plt.title(self.data_name)
          plt.show()
  
imports: import copy
  import sys
  import numpy
  import pandas
  import scipy.stats
  from patsy import dmatrices, dmatrix, demo_data
  from ..None import families
  from ..None import tsm
  from ..None import data_check
  from .kalman import *
label_desc: Use image node_id 16 for calling the DynReg obj's underlying member method code with example usage: obj.plot_sample(nsims, plot_data) without return types